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Familiarity with notions such as vector, matrix, matrix-vector multiplication, inner product and distance of vectors, transpose and inverse of a matrix, eigenvalue, eigenvector, derivative of a ...
A number of fast-growing use cases for graph databases are emerging that are highly compelling for data scientists. ... (GNN) to generate vector space representations for the entities in the graph.
Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph Database technology for Entity-Event Knowledge Graph Solutions, is introducing AllegroGraph 8.0, a ...
Language models and their vector representations (embeddings) are at the core of recent breakthroughs in AI, including AlphaFold2’s ability to predict the way a protein folds based on a sequence ...
These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...
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